No-code pipeline · BigQuery → BigQuery

Send data from BigQuery to BigQuery

Get started for free

No credit card required | 14 days | 10 million records | 30 pipelines

or sign up with your email

By signing up, you agree to Kondado’s Terms of service and Privacy policy

From BigQuery to BigQuery: managed, scheduled, no code.

Creating a pipeline that sends data from BigQuery to BigQuery data warehouses takes only a few minutes with Kondado. And the whole integration from BigQuery to BigQuery is managed and executed by our platform. With Kondado, you can focus on extracting value from BigQuery data and combining it with other data in your BigQuery data warehouse

Connect BigQuery now →

Replicate BigQuery Data to BigQuery Automatically

How to send BigQuery data to BigQuery? With Kondado, you connect your source database once and configure automated replication to your destination warehouse. The platform handles the data transfer on your chosen schedule, whether you need updates every 5 minutes or daily batches. This eliminates manual exports and ensures your analytics environment stays current without engineering overhead. Agency analysts can consolidate client data into centralized warehouses, while technical teams maintain data consistency across environments without building custom pipelines. Once replicated, your data becomes available for complex SQL analysis, machine learning model training, or feeding into business intelligence tools.

Kondado provides a direct integration between BigQuery and BigQuery, automatically mapping all available tables and views from your source database and replicating them to your destination on a configurable schedule. The process requires no coding and maintains data consistency through automated updates.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

Kondado’s Tables and Views pipeline automatically discovers and replicates every dataset object from your source BigQuery instance. This includes base tables containing raw transactional data and views that encapsulate complex business logic or filtered datasets. By maintaining these structures in your destination warehouse, you preserve existing data relationships and query patterns while enabling cross-project analytics. Marketing teams can analyze consolidated campaign performance across multiple Google Analytics properties, while data engineers build transformation layers using the replicated views as source material for BigQuery data models.

Try out all the features for free for 14 days

Replicated to BigQuery

Dynamic data

Kondado automatically reads the schema of your BigQuery. All tables, views, and fields available in your account are extracted without manual configuration.

available pipeline

BigQuery

Destination

What Kondado extracts

Tabelas e Views

Kondado automatically maps all tables and views available in your database

See all available data → Send BigQuery to BigQuery →

Try out all the features for free for 14 days

How to send BigQuery data to BigQuery

Sync data automatically — no code, no manual exports.

Connecting BigQuery on Kondado

Create a new pipeline in Kondado and select BigQuery as your data source, then authenticate using your Google Cloud service account credentials with BigQuery Data Viewer permissions.

Configuring BigQuery

Select BigQuery as your destination and provide the target project ID and dataset location where you want the replicated data stored.

Selecting data and setting the update schedule

Choose which tables and views to replicate from the automatically discovered list, then set your preferred update frequency ranging from 5 minutes to daily intervals.

Try out all the features for free for 14 days

Hundreds of data-driven companies trust Kondado

Why Kondado?

Focus on extracting value from your data and leave the rest to us

Wherever you need

With the same platform, you send data to AI (Claude/ChatGPT via MCP), reports, spreadsheets, databases, data warehouses, and data lakes. ETL and ELT

Learn More About Our Platform →

From wherever you need

Data from over 80 sources for Marketing, Ecommerce, ERPs, Customer Service, Finance, Databases, and much more

Learn More About Our Data Sources →

Predictable pricing

No surprise invoices, pick a plan and change it anytime

Check out our plans →

Send data from BigQuery to other destinations

BigQuery > Looker Studio

BigQuery > Power BI

Other visualizations

BigQuery > Amazon S3

BigQuery > BigQuery

BigQuery > Excel

BigQuery > Google Sheets

BigQuery > MySQL

BigQuery > PostgreSQL

BigQuery > Redshift

BigQuery > SQL Server

Choose a tool to visualize your BigQuery data

If the software you need is not listed, drop us a messagem. You can use almost every tool

BigQuery > Airtable

BigQuery > Alteryx

BigQuery > Amazon Quicksight

BigQuery > BIMachine

BigQuery > Cortex

BigQuery > Data Studio

BigQuery > Geckoboard

BigQuery > Grafana

BigQuery > IBM Cognos Analytics

BigQuery > Klipfolio

BigQuery > Looker Studio

BigQuery > Looker

BigQuery > Looqbox

BigQuery > Metabase

BigQuery > Microstrategy

BigQuery > Pentaho

BigQuery > Power BI

BigQuery > Qlik Cloud Analytics

BigQuery > Qlik Sense

BigQuery > Qlik

BigQuery > QlikView

BigQuery > Redash

BigQuery > Superset

BigQuery > Tableau

BigQuery > BI TOTVS

BigQuery > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending BigQuery data to BigQuery automatically

How does Kondado replicate data from BigQuery to BigQuery? ▼

Kondado connects to your source BigQuery using your provided credentials and queries the information schema to identify available datasets. The platform then extracts your selected tables and views, transferring them to your destination BigQuery project while preserving the original schema structure and data types.

What specific data objects can I replicate from my source BigQuery? ▼

Through the Tables and Views pipeline, you can replicate both standard tables containing your raw data and views that store SQL-based transformations or filtered subsets. This includes partitioned tables, clustered tables, and materialized views, ensuring your destination warehouse maintains the same analytical capabilities as your source environment.

How often can I schedule updates for my BigQuery to BigQuery replication? ▼

You can configure replication to run every 5 minutes for near-real-time analytics, or choose longer intervals such as 15 minutes, hourly, or daily depending on your business requirements. This flexibility allows you to balance data freshness with query costs and computational resources.

Can I combine BigQuery data with other sources in the same destination? ▼

Yes, Kondado enables you to replicate data from over 80 additional sources into the same BigQuery destination, including BigQuery alongside platforms like PostgreSQL or advertising data. This creates a unified data warehouse where you can run cross-platform SQL analysis and build comprehensive reports in Looker Studio or Power BI.

What format does the replicated data take in my destination BigQuery? ▼

Replicated tables maintain their original column names, data types, and schema structures from the source database. Views are recreated as tables in your destination containing the query results, allowing you to reference the data directly without executing the original SQL logic each time.

Do I need to map fields manually when replicating BigQuery to BigQuery? ▼

No, Kondado automatically maps all fields from your source tables and views to the destination without requiring manual configuration. The platform detects schema changes and updates the destination structure accordingly, ensuring your data models remain accurate without ongoing maintenance.

Can I replicate data from multiple BigQuery projects to one destination? ▼

Yes, you can configure separate pipelines from different source projects into a single destination warehouse. This consolidation strategy enables agencies to centralize client data or enterprises to merge departmental datasets for organization-wide analytics while maintaining clear data lineage.

How does Kondado handle schema changes in my source BigQuery tables? ▼

When you add new columns or modify existing fields in your source database, Kondado detects these changes during the next scheduled update and applies them to your destination tables. This schema drift handling ensures your replicated data stays synchronized with your source structure without manual intervention.

Try out all the features for free for 14 days

Related on Kondado

Try out all the features for free for 14 days